Marine Engineering Overview

Principles

Definition

Marine engineering is a specialized engineering discipline focused on the design, construction, operation, and maintenance of systems and equipment used in marine environments, including vessels and offshore structures. It integrates principles from various engineering and scientific fields such as mechanical engineering, naval architecture, physics, and mathematics to address the unique challenges of operating safely, efficiently, and sustainably at sea, underscoring its critical significance for global maritime activities and infrastructure.

Ontological type

Core Subdisciplines

Design Principles

Key Technologies

Key developments

Key Figures

Foundations of Marine Hydrodynamics era

Roland von Huene [1] conducted foundational marine hydrodynamics work across institutions such as Menlo School [3] and The University of Tokyo [4] during this era. His key contribution in this period includes the Initial reports of the deep sea drilling project [5], which provided essential empirical data on seabed properties and offshore geotechnics that underpinned subsequent design methods in coastal and offshore engineering. William E. Cummins [2] contributed to the same foundational era through analyses related to ship motions, notably the paper The impulse response function and ship motions [6]. This body of work underpinned early empirical models and verification practices that defined offshore and coastal engineering in this era.

Computational Integration and Autonomy era

Milica Stojanovic[1] was active across MIT[3] and Northeastern University[4] during the Computational Integration and Autonomy era, where underwater communications benefited from computational modeling and network protocols. Her key contributions include pioneering work on underwater acoustic communication channels and MAC protocols, notably the papers Underwater acoustic communication channels: Propagation models and statistical characterization[7], On the relationship between capacity and distance in an underwater acoustic communication channel[8], and Slotted FAMA: a MAC protocol for underwater acoustic networks[9], which advanced channel modeling and access methods essential for robust underwater networks in this era. Ian F. Akyildiz[2], affiliated with University of California, Berkeley[5] and Georgia Tech[6], helped anchor the era’s networked underwater sensing vision. His work on underwater sensor networks, including Underwater acoustic sensor networks: research challenges[10], Deployment analysis in underwater acoustic wireless sensor networks[11], and Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks[12], laid the groundwork for scalable, resilient marine networks and real-time control under challenging aquatic channels.

Data-Driven Probabilistic Ocean Engineering era

Peter Strasser [1] is associated with the École Nationale Supérieure de Chimie de Montpellier [3] and ETH Zurich [4] in the Data-Driven Probabilistic Ocean Engineering era. His key contributions in this era are reflected in the 2019 paper Direct Electrolytic Splitting of Seawater: Opportunities and Challenges [7], which underscores opportunities and challenges in seawater electrolysis and its relevance to marine energy and desalination, illustrating why probabilistic, data-driven approaches matter for ocean engineering. Shuzhi Sam Ge [2] is affiliated with the National University of Singapore [5] and Duke-NUS Medical School [6] in this era. His 2010 paper Leader–follower formation control of underactuated autonomous underwater vehicles [8] outlines cooperative control strategies for AUVs and underactuated platforms, a foundational contribution for reliable marine autonomy in data-driven ocean engineering.